ContraFix: Skill-Enhanced Contrastive Runtime Analysis for Vulnerability Repair
As software systems grow increasingly complex, automated vulnerability repair (AVR) remains difficult because the materials available to a repair system are usually failure artifacts rather than repair guidance. Traditional analysis techniques can provide suspicious locations, reduced triggers, or constraints, but they are costly to configure across repositories and seldom directly actionable for patch generation. Recent LLM-based agents can edit and validate repository-level patches, and experience-based systems can reuse prior repair traces or demonstrations, but they still need current-instance evidence that turns a broad, symptom-level failure report into a concrete repair decision. W...
| Authors | Simiao Liu, Fang Liu, Peiding Wang et al. |
|---|---|
| Primary category | cs.SE |
| Published | 17 May 2026 |
| Last updated at source | 1 July 2026 |
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